ZIP code
14475
in Ionia, New YorkPopulation 215
56.28/ 100
Ranked #7,988 of 32,066 US ZIPs (top 25%)
Ranked #924 of 1,730 New York ZIPs (bottom 47%)
Ranked #58 of 101 Rochester, NY ZIPs (bottom 43%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Expected annual disaster loss
$0
in the bottom 5.9% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Natural-disaster risk
in the bottom 6.4% nationally
Lower is healthier
ST12thUS6thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Arsenic in groundwater
20%
in the top 6.5% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Median household income
$123,917
in the top 8.5% nationally
Higher is healthier
ST83rdUS92ndDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›The read
Ionia, New York (ZIP 14475), by its composite score, sits in the top 25% healthiest ZIPs nationally (7,988th) and the bottom 47% of New York (924th), based on limited data; treat as directional.
The measures land in both directions, and neither dominates: housing-cost burden is at the national minimum, and homeownership lands at the national maximum. Home broadband subscription stands at the national maximum, and modeled expected annual loss registers in the bottom 5.9% nationally. Modeled disaster risk settles in the bottom 6.4% nationally. Unemployment sits at the national minimum, shared with about 15% of ZIPs. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs. Household income rests in the top 8.5% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Pulling the other way, modeled arsenic is in the top 6.5% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. For a healthier comparison close by, see ZIP 14469, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Rochester, NY metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 80%
13%
Mental Health
healthier than 71%
8%
Disability
healthier than 71%
7%
Climate / Disaster RiskPartial
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Risk Behavior
healthier than 49%
11%
Holding it back
Healthcare Access
healthier than 15%
5%
Lifting this score
Social Need / SDOH
healthier than 69%
16%
Climate / Disaster RiskPartial
healthier than 61%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Disability
healthier than 42%
7%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Preventive Care
healthier than 39%
13%
Risk Behavior
healthier than 37%
11%
Mental Health
healthier than 29%
8%
Healthcare Access
healthier than 14%
5%
Lifting this score
Climate / Disaster RiskPartial
healthier than 69%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Environmental Hazard
healthier than 53%
14%
Preventive Care
healthier than 49%
13%
Mental Health
healthier than 56%
8%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Risk Behavior
healthier than 39%
11%
Disability
healthier than 37%
7%
Healthcare Access
in the bottom 0.4%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
14469
New Yorkshares a border
Score 60.05
Closest healthier
14472
New Yorkshares a border
Score 67.30
Similar health profile
14082
New York99% similar profile
Score 58.77
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 31.0% | 27.3–35.0 |
| High blood pressure among adults | 35.5% | 31.0–39.8 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 8.9–11.3 |
| Current asthma among adults | 11.1% | 9.7–12.6 |
| Coronary heart disease among adults | 6.7% | 5.5–7.9 |
| Chronic obstructive pulmonary disease among adults | 7.6% | 6.0–9.3 |
| Depression among adults | 21.1% | 17.8–24.8 |
| Diagnosed diabetes among adults | 11.0% | 9.1–12.9 |
| High cholesterol among adults who have ever been screened | 37.5% | 33.1–41.9 |
| Obesity among adults | 33.2% | 26.2–40.7 |
| Stroke among adults | 3.5% | 3.0–4.2 |
| All teeth lost among adults aged >=65 years | 13.0% | 10.6–16.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.6% | 4.0–7.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 74.5–81.1 |
| Visits to doctor for routine checkup within the past year among adults | 81.6% | 78.4–84.8 |
| Cholesterol screening among adults | 90.9% | 89.1–92.6 |
| Colorectal cancer screening among adults aged 45–75 years | 64.5% | 59.2–69.6 |
| Visited dentist or dental clinic in the past year among adults | 65.6% | 62.2–68.8 |
| Mammography use among women aged 50-74 years | 77.0% | 69.7–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.6–19.8 |
| Current cigarette smoking among adults | 14.4% | 10.9–18.0 |
| No leisure-time physical activity among adults | 24.0% | 18.9–29.4 |
| Short sleep duration among adults | 37.8% | 31.6–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 13.7–20.9 |
| Frequent mental distress among adults | 15.9% | 13.6–18.4 |
| Frequent physical distress among adults | 14.1% | 11.7–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.2% | 10.0–14.6 |
| Any disability among adults | 27.5% | 22.6–32.4 |
| Hearing disability among adults | 6.3% | 5.3–7.4 |
| Independent living disability among adults | 7.9% | 6.4–9.6 |
| Mobility disability among adults | 13.8% | 10.9–16.7 |
| Self-care disability among adults | 3.8% | 3.1–4.6 |
| Vision disability among adults | 4.5% | 3.7–5.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 17.4–26.0 |
| Food insecurity in the past 12 months among adults | 12.2% | 8.8–16.4 |
| Received food stamps in the past 12 months among adults | 11.5% | 8.1–15.6 |
| Housing insecurity in the past 12 months among adults | 10.9% | 8.2–14.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.3–8.3 |
| Loneliness among adults | 32.2% | 26.6–38.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.2–8.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.1% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 13.3% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 3.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 41.7% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 100.0% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 72.4% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 39.5% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 55.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $123,917 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $338,800 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $1,162 ($782–$2,359) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 83.0 yr ± 1.68 | 78.9 yr (74.7–82.8) n=31,308 | 80.9 yr (78.0–84.5) n=1,692 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.68 years of 83.0, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured